Co-occurring keywords · papers mentioning both
differential privacy
(2)
differentially private stochastic convex optimization
(1)
mahalanobis norm
(1)
coordinate differential privacy
(1)
feature-specific privacy
(1)
ordinary least-squares regression
(1)
heavy-tailed data
(1)
adaptive estimation
(1)
user-level privacy
(1)
sub-gaussian distribution
(1)
Papers
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy
AISTATS 2025
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates
AISTATS 2024
A Pretty Fast Algorithm for Adaptive Private Mean Estimation
COLT 2023
Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited
IJCAI 2022